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COMPASS Coastal Marine Perception Application for Scientific Scholarship

COMPASS Coastal Marine Perception Application for Scientific Scholarship. Dr Kristin Stock Social Change Online, UK and Centre for Geospatial Science University of Nottingham. Introduction: What is COMPASS?. Creates a knowledge infrastructure to support scientists;

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COMPASS Coastal Marine Perception Application for Scientific Scholarship

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  1. COMPASSCoastal Marine Perception Application for Scientific Scholarship Dr Kristin Stock Social Change Online, UK and Centre for Geospatial Science University of Nottingham

  2. Introduction: What is COMPASS? • Creates a knowledge infrastructure to support scientists; • Use case in marine domain; • Uses ontologies: • Domain ontologies; • Scientific resource ontologies; • Service ontologies; • OGC WRS Registry to store ontologies; • December 2007 to March 2009.

  3. Partners • Funded by the UK Joint Information Services Committee; • EDINA, University of Edinburgh (lead); • Social Change Online; • GeoSciences, University of Edinburgh; • University of Muenster; • Digital Enterprise Research Institute, National University of Ireland, Galway.

  4. How does it support scientists? • It will help them to discover scientific resources: • Journal papers; • Scientific theories; • Scientific models; • Data sets; • Web services (e.g. WFS); • It will help them to use these resources (including executing services).

  5. Use Cases • Example Use Case: • climate change, sea level changes and human settlement around the Isle of Arran, Scotland; • store existing scientific artefacts (journal articles, researchers, scientific theories, scientific models, data layers, web services)

  6. Journal articles: • McTavish, 2007, Sea Level Changes Around the Isle of… • McTaggart, 1980, A Climate Change Model for… • …. • Theories • The Earth is Flat Theory • The Global Warming Denial Theory • The Noah’s Ark Theory of Climate Change • … • Models • The Taggart-McTaggart Climate Change Model • The McTavish Polynomial Sea Level Prediction Model • …. • Data sets • Sea level around Isle of Arran 1900 - Actual • Sea level around Isle of Arran 1950 - Actual • Sea level around Isle of Arran 2000 – Actual • Sea level around Isle of Arran 2050 – Projected • Sea level around Isle of Arran 2100 – Projected • Sea level around Isle of Arran 2300 – Projected • Sea level around Isle of Arran 2500 – Projected • Human settlement on the Isle of Arran 2000 • …Probably lots of others because these could be from any journal article or piece of research, or just added in their own right… • Web services • Isle of Arran Sea Level WFS • Isle of Arran Human Settlement WFS • Climate Change WPS by UK Met Office • Climate Change WPS by University of Edinburgh • … • Researchers • Matilda McTavish • Taggart McTaggart • Hamish Tartan • (possibly other things, the scope of this will be defined by the content of the scientific resource ontology and related registry artefacts)

  7. Sea Level Changes Around the Isle of Arran and Projected Impacts on Human Settlement 2000 CE to 2500 CE. • Author: Matilda McTavish. • Related domain ontology terms: climate, sea level, marine geomorphology, human settlement • Relevant geographic area: Isle of Arran, Scotland • Relevant time period: 2000-2500 • Scientific model used: • The Taggart-McTaggart Climate Change Model • The McTavish Polynomial Sea Level Prediction Model • Related scientific models: • The Al Gore Climate Change Model • The Flat Earth Society Climate Change Model • Scientific Theories used: • The Earth is Flat Theory • The Global Warming Denial Theory • The Noah’s Ark Theory of Climate Change • Related data sets: • Sea level around Isle of Arran 1900 - Actual • Sea level around Isle of Arran 1950 - Actual • Sea level around Isle of Arran 2000 – Actual • Sea level around Isle of Arran 2050 – Projected • Sea level around Isle of Arran 2100 – Projected • Sea level around Isle of Arran 2300 – Projected • Sea level around Isle of Arran 2500 – Projected • Human settlement on the Isle of Arran 2000 • Related web services: • A WFS returning the above data sets • A WCS returning the above data sets • A WPS performing sea level predictions • A WPS showing areas of land affected by climate change (inundated or uncovered) • A WPS performing a generic intersection operation

  8. Domain Ontologies • Will be created for the marine domain; • Initially created top-down using a workshop of domain experts; • Will then be modified, refined and extended using a bottom-up, semantic tagging approach; • Using ontology engineering and semantic tagging tools.

  9. Scientific Resource Ontology • Will describe scientific resources; • Based on DOLCE upper level ontology; • Scientific resources will be entered as instances of the scientific resource ontology; • Scientific resources will also be linked to the domain ontology.

  10. Web Services and Service Ontologies • The knowledge infrastructure will also include data layers and web services; • Web service semantics will be described with service ontologies; • Data sets will be linked to domain ontologies to represent their semantics.

  11. Ontological Registry • This will all include a registry compliant with CSW ebRIM Application Profile (WRS); • The registry will store ontologies; • The registry might itself be an ontology! • Reasoning in the registry?

  12. Architecture • Issue: how to reconcile the ontology modelling tools with registry tools for management of ontologies, scientific artefacts and reasoning; • Ontology modelling and tagging tools (gnizr, knowledgeSmarts) handle ontologies and reasoning; • Registry handles resource management and invocation; • We would like the functions to be integrated (not import/export).

  13. Outcome 1: Information Architecture • A structure for storing all of the scientific resources with associated semantic content; • An ontology or set of ontologies for the coastal domain; • A scientific resource ontology; • Service ontologies; • Plus…

  14. Outcome 2: Infrastructure • An implemented knowledge infrastructure: • ebRIM + OGC WRS interface; • Components to manage information about all scientific resources, ontologies, web services, data sets… • Components for reasoning;

  15. Outcome 3: User Interfaces • Discovery tools to allow scientists to find and invoke resources; • Lots of scope to extend for more advanced discovery using ontological links; • Tools for dynamic ontology engineering and semantic tagging; • Tools for management of the content.

  16. Outcome 4: Digital Library Interface • An interface with digital libraries through DL interfaces (e.g. Z39.50); • To allow COMPASS to access digital library content and vice versa; • COMPASS tools will also include digital library content and digital library tools will include COMPASS content.

  17. Questions or Comments?

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